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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 9952
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    Explanations

    proper names related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly focusing on the name "Willie" and other notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oÄŁ
    -0.89
    ylum
    -0.86
    iminary
    -0.84
    nia
    -0.83
    lain
    -0.80
    etheus
    -0.79
    icum
    -0.79
    idia
    -0.78
    yrinth
    -0.72
    iosis
    -0.71
    POSITIVE LOGITS
     Horton
    0.94
     Robertson
    0.92
     Owens
    0.89
     Rogers
    0.87
     Armstrong
    0.84
     Burns
    0.83
     Robinson
    0.82
     Nelson
    0.81
     Lomb
    0.80
     Berger
    0.80
    Activations Density 0.036%

    No Known Activations